Sparse Modeling: Theory, Algorithms, and Applications Chapman & Hall/CRC Machine Learning & Pattern Recognition | 1 Edition

Details about Sparse Modeling: Theory, Algorithms, and Applications Chapman & Hall/CRC Machine Learning & Pattern Recognition:

Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing.Sparse Modeling: Theory, Algorithms, and Applications provides an introduction t